129 lines
3.8 KiB
C++
129 lines
3.8 KiB
C++
// sherpa-onnx/csrc/offline-tdnn-ctc-model.cc
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//
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// Copyright (c) 2023 Xiaomi Corporation
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#include "sherpa-onnx/csrc/offline-tdnn-ctc-model.h"
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#include <utility>
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#include "sherpa-onnx/csrc/macros.h"
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#include "sherpa-onnx/csrc/onnx-utils.h"
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#include "sherpa-onnx/csrc/session.h"
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#include "sherpa-onnx/csrc/text-utils.h"
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#include "sherpa-onnx/csrc/transpose.h"
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namespace sherpa_onnx {
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class OfflineTdnnCtcModel::Impl {
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public:
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explicit Impl(const OfflineModelConfig &config)
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: config_(config),
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env_(ORT_LOGGING_LEVEL_ERROR),
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sess_opts_(GetSessionOptions(config)),
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allocator_{} {
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auto buf = ReadFile(config_.tdnn.model);
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Init(buf.data(), buf.size());
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}
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#if __ANDROID_API__ >= 9
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Impl(AAssetManager *mgr, const OfflineModelConfig &config)
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: config_(config),
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env_(ORT_LOGGING_LEVEL_ERROR),
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sess_opts_(GetSessionOptions(config)),
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allocator_{} {
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auto buf = ReadFile(mgr, config_.tdnn.model);
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Init(buf.data(), buf.size());
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}
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#endif
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std::vector<Ort::Value> Forward(Ort::Value features) {
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auto nnet_out =
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sess_->Run({}, input_names_ptr_.data(), &features, 1,
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output_names_ptr_.data(), output_names_ptr_.size());
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std::vector<int64_t> nnet_out_shape =
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nnet_out[0].GetTensorTypeAndShapeInfo().GetShape();
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std::vector<int64_t> out_length_vec(nnet_out_shape[0], nnet_out_shape[1]);
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std::vector<int64_t> out_length_shape(1, nnet_out_shape[0]);
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auto memory_info =
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Ort::MemoryInfo::CreateCpu(OrtDeviceAllocator, OrtMemTypeDefault);
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Ort::Value nnet_out_length = Ort::Value::CreateTensor(
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memory_info, out_length_vec.data(), out_length_vec.size(),
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out_length_shape.data(), out_length_shape.size());
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std::vector<Ort::Value> ans;
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ans.reserve(2);
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ans.push_back(std::move(nnet_out[0]));
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ans.push_back(Clone(Allocator(), &nnet_out_length));
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return ans;
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}
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int32_t VocabSize() const { return vocab_size_; }
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OrtAllocator *Allocator() const { return allocator_; }
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private:
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void Init(void *model_data, size_t model_data_length) {
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sess_ = std::make_unique<Ort::Session>(env_, model_data, model_data_length,
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sess_opts_);
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GetInputNames(sess_.get(), &input_names_, &input_names_ptr_);
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GetOutputNames(sess_.get(), &output_names_, &output_names_ptr_);
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// get meta data
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Ort::ModelMetadata meta_data = sess_->GetModelMetadata();
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if (config_.debug) {
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std::ostringstream os;
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PrintModelMetadata(os, meta_data);
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SHERPA_ONNX_LOGE("%s\n", os.str().c_str());
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}
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Ort::AllocatorWithDefaultOptions allocator; // used in the macro below
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SHERPA_ONNX_READ_META_DATA(vocab_size_, "vocab_size");
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}
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private:
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OfflineModelConfig config_;
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Ort::Env env_;
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Ort::SessionOptions sess_opts_;
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Ort::AllocatorWithDefaultOptions allocator_;
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std::unique_ptr<Ort::Session> sess_;
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std::vector<std::string> input_names_;
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std::vector<const char *> input_names_ptr_;
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std::vector<std::string> output_names_;
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std::vector<const char *> output_names_ptr_;
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int32_t vocab_size_ = 0;
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};
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OfflineTdnnCtcModel::OfflineTdnnCtcModel(const OfflineModelConfig &config)
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: impl_(std::make_unique<Impl>(config)) {}
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#if __ANDROID_API__ >= 9
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OfflineTdnnCtcModel::OfflineTdnnCtcModel(AAssetManager *mgr,
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const OfflineModelConfig &config)
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: impl_(std::make_unique<Impl>(mgr, config)) {}
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#endif
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OfflineTdnnCtcModel::~OfflineTdnnCtcModel() = default;
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std::vector<Ort::Value> OfflineTdnnCtcModel::Forward(
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Ort::Value features, Ort::Value /*features_length*/) {
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return impl_->Forward(std::move(features));
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}
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int32_t OfflineTdnnCtcModel::VocabSize() const { return impl_->VocabSize(); }
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OrtAllocator *OfflineTdnnCtcModel::Allocator() const {
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return impl_->Allocator();
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}
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} // namespace sherpa_onnx
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